What would be the best order to learn data engineering skills and technology for a beginner?

This page summarizes the projects mentioned and recommended in the original post on /r/dataengineering

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  1. Mage

    ๐Ÿง™ The modern replacement for Airflow. Mage is an open-source data pipeline tool for transforming and integrating data. https://github.com/mage-ai/mage-ai

    If you want to try out building data pipelines on cloud resources, you can try out this tool: http://demo.mage.ai/. Here is the project: https://github.com/mage-ai/mage-ai

  2. SaaSHub

    SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives

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  3. data-engineering-zoomcamp

    Data Engineering Zoomcamp is a free 9-week course on building production-ready data pipelines. The next cohort starts in January 2026. Join the course here ๐Ÿ‘‡๐Ÿผ

    Also, I donโ€™t know if you have come across this but there is a free data engineering course available from DataTalksClub going over some GCP features, Terraform, Docker, Spark, Airflow, and more. I found it great to get a feeling of how all these tools interact.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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